context stringlengths 362 4.81k | question stringlengths 2.11k 2.25k | answer stringlengths 1 260 | max_new_tokens int64 128 128 | answer_prefix stringclasses 1
value |
|---|---|---|---|---|
Table InputTable: [["Event", "Class", "Gold", "Silver", "Bronze"], ["Giant slalom", "LW4\\ndetails", "Steven Bayley\\nNew Zealand (NZL)", "Hans Burn\\nSwitzerland (SUI)", "Robert Meusburger\\nAustria (AUT)"], ["Downhill", "LW2\\ndetails", "Michael Milton\\nAustralia (AUS)", "Christian Lanthaler\\nItaly (ITA)", "Jason L... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | 128 | Answer: |
Table InputTable: [["Iteration", "Dates", "Location", "Attendance", "Notes"], ["GameStorm 10", "March 2008", "Red Lion - Vancouver, WA", "750", "-"], ["GameStorm 15", "March 21–24, 2013", "Hilton - Vancouver, WA", "1188", ""], ["GameStorm 12", "March 25–28, 2010", "Hilton - Vancouver, WA", "802", "Board games Guest of ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 14 | 128 | Answer: |
Table InputTable: [["Pos", "No", "Driver", "Team", "Laps", "Time/Retired", "Grid", "Points"], ["13", "19", "Joël Camathias", "Dale Coyne Racing", "85", "+ 2 Laps", "18", "0"], ["2", "1", "Bruno Junqueira", "Newman/Haas Racing", "87", "+0.8 secs", "2", "17"], ["16", "11", "Geoff Boss", "Dale Coyne Racing", "83", "Mechan... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Ryan Hunter-Reay | 128 | Answer: |
Table InputTable: [["Value", "Diameter", "Composition", "1975–1979\\nObverse", "1975–1979\\nReverse", "1981-\\nObverse", "1981-\\nReverse"], ["10 seniti", "24 mm", "Cupronickel", "King", "Grazing cattle", "King", "Bananas on tree"], ["20 seniti", "29 mm", "Cupronickel", "King", "Bees and hive", "King", "Yams"], ["2 sen... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | 128 | Answer: |
Table InputTable: [["Nation", "Date", "Quantity", "Type", "Notes"], ["Canada", "2009", "9", "4207", "In 2009 the Department of Fisheries and Oceans announced it would be purchasing 9 patrol vessels for the Canadian Coast Guard. The Hero-class patrol vessels began entering service in 2011."], ["Honduras", "2013", "2", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 7 | 128 | Answer: |
Table InputTable: [["County", "Brown", "Votes", "Nixon", "Votes", "Wyckoff", "Votes"], ["Sacramento", "60.69%", "115,462", "37.74%", "71,788", "1.57%", "2,988"], ["San Francisco", "62.19%", "180,298", "36.96%", "107,165", "0.85%", "2,455"], ["Nevada", "51.02%", "4,818", "47.12%", "4,450", "1.85%", "175"], ["San Luis Ob... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 9 | 128 | Answer: |
Table InputTable: [["Date", "Site", "Winning team", "Winning team", "Losing team", "Losing team", "Series"], ["September 29, 1984", "Colorado Springs", "Air Force", "52", "Colorado State", "10", "AFA 14–8–1"], ["September 27, 1986", "Colorado Springs", "Air Force", "24", "Colorado State", "7", "AFA 16–8–1"], ["October ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 5 games | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["3", "West Germany (FRG)", "2", "0", "0", "2"], ["6", "Sweden (SWE)", "0", "1", "1", "2"], ["1", "Netherlands (NED)", "4", "3", "2", "9"], ["5", "Soviet Union (URS)", "0", "1", "2", "3"], ["4", "Norway (NOR)", "0", "2", "2", "4"], ["", "Total"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 0 | 128 | Answer: |
Table InputTable: [["Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points"], ["9", "8", "Stefano Modena", "Brabham-Judd", "62", "+ 2 Laps", "20", ""], ["12", "24", "Paolo Barilla", "Minardi-Ford", "62", "+ 2 Laps", "24", ""], ["7", "10", "Alex Caffi", "Arrows-Ford", "63", "+ 1 Lap", "17", ""], [... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Alain Prost | 128 | Answer: |
Table InputTable: [["Outcome", "No.", "Date", "Tournament", "Surface", "Opponent", "Score"], ["Winner", "3.", "21 May 2006", "Hamburg Masters, Hamburg, Germany", "Clay", "Radek Štěpánek", "6–1, 6–3, 6–3"], ["Winner", "2.", "2 May 2004", "Torneo Godó, Barcelona, Spain", "Clay", "Gastón Gaudio", "6–3, 4–6, 6–2, 3–6, 6–3"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 12 | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["8", "Germany", "19", "28", "31", "78"], ["1", "China", "63", "46", "32", "141"], ["5", "Australia", "26", "38", "36", "100"], ["4", "United States", "27", "22", "39", "88"], ["10", "Japan", "17", "16", "20", "53"], ["3", "Canada", "28", "19",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | China | 128 | Answer: |
Table InputTable: [["Year", "Team Record\\nW", "Team Record\\nL", "Playoffs"], ["2005", "3", "5", "Did Not Make Playoffs"], ["2009", "5", "5", "Did Not Make Playoffs"], ["2010", "5", "5", "Did Not Make Playoffs"], ["2007", "13", "1", "1st Qualifier, Region 2"], ["2001", "7", "2", "3rd Qualifier, Region 2"], ["2003", "8... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2005 | 128 | Answer: |
Table InputTable: [["Event", "Class", "Gold", "Silver", "Bronze"], ["Slalom", "LW2\\ndetails", "Michael Milton\\nAustralia (AUS)", "Monte Meier\\nUnited States (USA)", "Michael Hipp\\nGermany (GER)"], ["Giant slalom", "LW2\\ndetails", "Michael Milton\\nAustralia (AUS)", "Jason Lalla\\nUnited States (USA)", "Asle Tangvi... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4 | 128 | Answer: |
Table InputTable: [["Rank", "Player", "County", "Tally", "Total", "Opposition"], ["1", "Francis Forde", "Galway", "2–8", "14", "Roscommon"], ["2", "Niall English", "Carlow", "1–9", "12", "Westmeath"], ["9", "Francis Forde", "Galway", "1–5", "8", "New York"], ["6", "Seán McLoughlin", "Westmeath", "1–6", "9", "Carlow"], ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Francis Forde | 128 | Answer: |
Table InputTable: [["#", "Weekend End Date", "Film", "Box Office"], ["20", "May 17, 1998", "Deep Impact", "£1,763,805"], ["22", "May 31, 1998", "Deep Impact", "£1,070,805"], ["21", "May 24, 1998", "Deep Impact", "£1,601,651"], ["9", "March 1, 1998", "Titanic", "£3,403,199"], ["19", "May 10, 1998", "Scream 2", "£1,213,1... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | 128 | Answer: |
Table InputTable: [["Speed", "Date", "Country", "Train", "Arr.", "Power", "State", "Comments"], ["164 km/h (102 mph)", "1904-05-09", "UK", "GWR 3700 Class 3440 City of Truro", "Loc", "Steam", "Unmod.", "Claimed[by whom?] to be the first steam locomotive to reach100 mph (161 km/h).[citation needed]"], ["200.4 km/h (125 ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Germany | 128 | Answer: |
Table InputTable: [["Season", "Date", "Location", "Discipline", "Place"], ["2012", "26 Feb 2012", "Bansko, Bulgaria", "Super-G", "2nd"], ["2012", "5 Feb 2012", "Garmisch, Germany", "Super-G", "3rd"], ["2012", "4 Feb 2012", "Garmisch, Germany", "Downhill", "3rd"], ["2012", "2 Dec 2011", "Lake Louise, Canada", "Downhill"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | 128 | Answer: |
Table InputTable: [["School Name", "Low grade", "High grade", "Students (K-12)", "FTE Teachers", "Student/teacher ratio"], ["Grace Christian School", "PK", "12", "117", "13", "9"], ["St Stephen Elementary School", "PK", "8", "364", "23.1", "15.76"], ["Bethany Lutheran School", "PK", "8", "28", "3.6", "7.78"], ["St Paul... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 10 | 128 | Answer: |
Table InputTable: [["Year", "Rider", "Victories", "Bike", "Manufacturer's Championship"], ["2001", "Troy Bayliss", "6", "Ducati 996", "Ducati"], ["1996", "Troy Corser", "7", "Ducati 916", "Ducati"], ["1994", "Carl Fogarty", "11", "Ducati 916", "Ducati"], ["1995", "Carl Fogarty", "13", "Ducati 916", "Ducati"], ["1998", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 6 | 128 | Answer: |
Table InputTable: [["Season", "League\\nPos.", "League\\nCompetition", "League\\nTop scorer", "Danish Cup", "Europe", "Others"], ["1987-88", "1", "1988 1st Division", "Bent Christensen (21)", "Finalist", "EC3 2nd round", ""], ["1988-89", "2", "1989 1st Division", "Bent Christensen (10)", "Winner", "EC1 1st round", ""],... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1988-89 | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["1", "China (CHN)", "14", "14", "13", "41"], ["2", "India (IND)", "7", "6", "4", "17"], ["5", "South Korea (KOR)", "3", "2", "1", "6"], ["6", "Japan (JPN)", "2", "13", "8", "23"], ["9", "Qatar (QAT)", "1", "4", "3", "8"], ["8", "Sri Lanka (SRI... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 24 | 128 | Answer: |
Table InputTable: [["Year", "Title", "Role", "Notes"], ["1999", "Detention", "Orangejella LaBelle", "13 episodes"], ["2009", "Roommates", "Hope", "13 episodes"], ["1994–1999", "Sister, Sister", "Tamera Campbell", "119 episodes"], ["2006–2007", "Family Guy", "Esther", "Voice\\n3 episodes"], ["2000", "How I Loved a Macho... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Roommates | 128 | Answer: |
Table InputTable: [["Stations", "Connections", "City/ Neighborhood", "Parking", "Date Opened"], ["North Hollywood", "Metro Red Line \\nMetro Local: 152, 154, 156, 162, 183, 224, 353, 656\\nLADOT Commuter Express: 549\\nCity of Santa Clarita Transit: 757", "North Hollywood", "951 Spaces", "October 29, 2005"], ["Van Nuy... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 951 | 128 | Answer: |
Table InputTable: [["Year", "Car", "Start", "Qual", "Rank", "Finish", "Laps", "Led", "Retired"], ["1928", "8", "4", "117.031", "4", "10", "200", "33", "Running"], ["1939", "62", "27", "121.749", "24", "11", "200", "0", "Running"], ["1929", "23", "11", "112.146", "15", "17", "91", "0", "Supercharger"], ["1937", "38", "7... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | 128 | Answer: |
Table InputTable: [["Chart Year", "Artist", "Album", "Song", "Billboard Hot 100", "Billboard Hot R&B/Hip Hop", ""], ["2013", "Yo Gotti", "I Am", "Don't Come Around", "New Single", "", ""], ["2013", "T.I.", "Trouble Man", "Trap Back Jumpin", "New Single", "", ""], ["2013", "Omarion", "Self Made 3", "Know You Better f/ F... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 76 | 128 | Answer: |
Table InputTable: [["Rank", "Player", "Nation", "Club", "Goals"], ["3", "Maxwell Griffin", "USA", "Orlando City", "9"], ["2", "Matthew Delicâte", "ENG", "Richmond Kickers", "10"], ["1", "Jhonny Arteaga", "COL", "FC New York", "13"], ["6", "Andriy Budnyy", "UKR", "Wilmington Hammerheads", "8"], ["3", "José Angulo", "USA... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 9 | 128 | Answer: |
Table InputTable: [["Result", "Date", "Category", "Tournament", "Surface", "Partnering", "Opponents", "Score"], ["Runner-up", "19 June 1983", "$150,000", "Eastbourne, Great Britain", "Grass", "Jo Durie", "Martina Navrátilová\\n Pam Shriver", "1–6, 0–6"], ["Winner", "27 November 1983", "$150,000", "Sydney, Australia", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 8 | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["8", "Croatia", "0", "3", "3", "6"], ["4", "Spain", "4", "14", "6", "24"], ["2", "Italy", "12", "8", "10", "30"], ["6", "Tunisia", "3", "0", "0", "3"], ["7", "Algeria", "2", "0", "2", "4"], ["1", "France", "14", "7", "7", "28"], ["5", "Greece"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Italy | 128 | Answer: |
Table InputTable: [["Rank", "Name", "Nationality", "1st (m)", "2nd (m)", "Points"], ["5", "Andreas Kofler", "AUT", "126.5", "132.0", "261.3"], ["4", "Adam Małysz", "POL", "127.0", "130.5", "261.5"], ["3", "Janne Ahonen", "FIN", "127.0", "130.5", "264.0"], ["1", "Matti Hautamäki", "FIN", "132.0", "131.5", "274.3"], ["11... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 261.3 | 128 | Answer: |
Table InputTable: [["Event", "Class", "Gold", "Silver", "Bronze"], ["Super-G", "B1-3\\ndetails", "Bart Bunting\\nGuide: Nathan Chivers\\nAustralia (AUS)", "Eric Villalon\\nGuide: Pere Comet\\nSpain (ESP)", "Yon Santacana\\nGuide: Raul Capdevila\\nSpain (ESP)"], ["Giant slalom", "B1-2\\ndetails", "Eric Villalon\\nGuide:... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | 128 | Answer: |
Table InputTable: [["Speed", "Date", "Country", "Train", "Arr.", "Power", "State", "Comments"], ["164 km/h (102 mph)", "1904-05-09", "UK", "GWR 3700 Class 3440 City of Truro", "Loc", "Steam", "Unmod.", "Claimed[by whom?] to be the first steam locomotive to reach100 mph (161 km/h).[citation needed]"], ["182.4 km/h (113 ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | UK | 128 | Answer: |
Table InputTable: [["Common name", "District", "Hebrew", "Arabic", "Population\\n(2009)", "Area\\n(km²)", "Mayor"], ["Dimona", "South", "דימונה", "ديمونة", "32,400", "29.877", "Meir Cohen"], ["Acre", "North", "עכו", "عكا", "46,300", "13.533", "Shimon Lancry"], ["Ramla", "Center", "רמלה", "الرملة", "65,800", "11.854", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 32,100 | 128 | Answer: |
Table InputTable: [["Eps #", "Prod #", "Title", "Summary", "Air Date"], ["7", "14", "It Started On Yancy Street", "The Fantastic Four face a bunch of old rivals in Yancy Street, but their old enemy Red Ghost and his primates show up and capture them. During their voyage to the moon, the four turn the tables, but Red Gh... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4 | 128 | Answer: |
Table InputTable: [["Year", "Division", "League", "Reg. Season", "Playoffs", "National Cup"], ["1936/37", "N/A", "ASL", "5th, National", "Did not qualify", "Champion"], ["1953/54", "N/A", "ASL", "1st", "Champion (no playoff)", "Champion"], ["1935/36", "N/A", "ASL", "1st", "Champion (no playoff)", "?"], ["1937/38", "N/A... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1953/54 | 128 | Answer: |
Table InputTable: [["Name", "Nationality", "From", "To", "Honours", "Comments"], ["Anders Theil", "Denmark", "7 November 2005", "7 July 2009", "", "Originally had contract until summer 2011"], ["Ebbe Skovdahl", "Denmark", "11 October 2003", "6 November 2005", "Team was relegated to second tier", "Originally had contrac... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Anders Theil | 128 | Answer: |
Table InputTable: [["Wrestler:", "Reigns:", "Date:", "Place:", "Notes:"], ["Randy Savage", "1", "March 13, 1979", "Halifax, Nova Scotia", ""], ["Paul Christy", "1", "November 13, 1983", "Springfield, Illinois", ""], ["Lanny Poffo", "1", "May 10, 1978", "San Francisco, California", "Defeated Joe Banek to become the firs... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Lanny Poffo | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["1", "China", "63", "46", "32", "141"], ["8", "Germany", "19", "28", "31", "78"], ["10", "Japan", "17", "16", "20", "53"], ["6", "Ukraine", "24", "12", "19", "55"], ["5", "Australia", "26", "38", "36", "100"], ["9", "France", "18", "26", "30",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | United States | 128 | Answer: |
Table InputTable: [["Season", "Footballer", "Club", "Position", "Nationality"], ["1996-97", "Wilfred Mugeyi", "Bush Bucks", "FW", "Zimbabwe"], ["1999-00", "Siyabonga Nomvethe", "Kaizer Chiefs", "FW", "South Africa"], ["1997-98", "Raphael Chukwu", "Mamelodi Sundowns", "FW", "Nigeria"], ["2004-05", "Sandile Ndlovu", "Dyn... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | 128 | Answer: |
Table InputTable: [["Name", "Country", "Town", "Height\\nmetres / ft", "Structural type", "Held record", "Notes"], ["Eiffel Tower", "France", "Paris", "300.6 / 986", "Tower", "1889–1930", "Currently stands at a height of 324 metres (1,063 ft)."], ["Notre-Dame Cathedral", "France", "Rouen", "151 / 500", "Church", "1876–... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Chrysler Building | 128 | Answer: |
Table InputTable: [["County", "Brown", "Votes", "Nixon", "Votes", "Wyckoff", "Votes"], ["San Luis Obispo", "52.86%", "16,110", "45.36%", "13,825", "1.78%", "543"], ["Sonoma", "49.19%", "29,373", "49.65%", "29,647", "1.17%", "696"], ["Siskiyou", "59.98%", "7,718", "38.41%", "4,942", "1.62%", "208"], ["Santa Barbara", "4... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Alpine | 128 | Answer: |
Table InputTable: [["Description Losses", "1939/40", "1940/41", "1941/42", "1942/43", "1943/44", "1944/45", "Total"], ["Deaths Outside of Prisons & Camps", "", "42,000", "71,000", "142,000", "218,000", "", "473,000"], ["Deaths In Prisons & Camps", "69,000", "210,000", "220,000", "266,000", "381,000", "", "1,146,000"], ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 473,000 | 128 | Answer: |
Table InputTable: [["Year", "Designer(s)", "Brief description", "Selected by:", "Associated publication"], ["2003", "Marni", "Colorful printed dress", "Lucinda Chambers", "Vogue"], ["1982", "Margaret Howell\\nNigel Preston of Maxfield Parrish (leather wear)\\nMulberry (belt)\\nManolo Blahnik for Zapata (shoes)", "Two w... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 6 | 128 | Answer: |
Table InputTable: [["Callsign", "Area served", "Frequency", "Band", "Fate", "Freq currently", "Purpose"], ["7CAE", "Hobart", "092.1", "FM", "Changed call to 7THE ca. 1980", "7THE", "Community"], ["7UV", "Ulverstone", "", "AM", "Moved to Devonport and changed call to 7AD in 1940", "7AD", "Commercial"], ["7QT", "Queensto... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 7CAE | 128 | Answer: |
Table InputTable: [["Round", "Pick", "Player", "Position", "Nationality", "School/Club Team"], ["7", "153", "Allan Zahn", "", "United States", "Arkansas"], ["5", "107", "Gib Hinz", "", "United States", "Wisconsin-Eau Claire"], ["6", "129", "Dean Uthoff", "", "United States", "Iowa State"], ["3", "61", "Rich Yonakor", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Gib Hinz | 128 | Answer: |
Table InputTable: [["Rank", "City", "Passengers", "Ranking", "Airline"], ["2", "Nuevo León, Monterrey", "106,513", "", "Aeroméxico Connect, Interjet"], ["8", "Baja California, Tijuana", "14,906", "", "Interjet"], ["6", "Baja California Sur, Los Cabos", "37,526", "1", "Interjet"], ["3", "Guerrero, Acapulco", "56,069", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Quintana Roo, Cancún | 128 | Answer: |
Table InputTable: [["Rank", "Player", "County", "Tally", "Total", "Opposition"], ["3", "Gary Kirby", "Limerick", "0–10", "10", "Tipperary"], ["3", "Gary Kirby", "Limerick", "1–7", "10", "Tipperary"], ["6", "Gary Kirby", "Limerick", "0–9", "9", "Antrim"], ["3", "Kevin Broderick", "Galway", "3–1", "10", "New York"], ["6"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Gary Kirby | 128 | Answer: |
Table InputTable: [["Represented", "Contestant", "Age", "Height", "Hometown"], ["Santo Domingo", "Yisney Lina Lagrange Méndez", "19", "1.82", "Pedro Brand"], ["Salcedo", "Rossemely Cruz Logroño", "26", "1.76", "Salcedo"], ["La Altagracia", "Ana Carolina Viñas Machado", "22", "1.84", "Santiago de los Caballeros"], ["San... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Yisney Lina Lagrange Méndez | 128 | Answer: |
Table InputTable: [["Heat", "Rank", "Name", "Result", "Notes"], ["1", "2", "Paula Radcliffe (GBR)", "15:27.25 Q", ""], ["1", "16", "Yelena Kopytova (RUS)", "15:37.19", "PB"], ["2", "18", "Stela Olteanu (ROU)", "15:40.86", ""], ["1", "26", "Zohra Ouaziz (MAR)", "15:58.84", ""], ["2", "31", "Jelena Chelnova (LAT)", "16:2... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | FIN | 128 | Answer: |
Table InputTable: [["decimal32", "decimal64", "decimal128", "decimal(32k)", "Format"], ["32", "64", "128", "32×k", "Total size (bits)"], ["7", "16", "34", "p = 3×t/10+1 = 9×k−2", "Coefficient size (decimal digits)"], ["192", "768", "12288", "3×2w = 48×4k", "Exponent range"], ["6", "8", "12", "w = 2×k + 4", "Exponent co... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Coefficient size (decimal digits) | 128 | Answer: |
Table InputTable: [["Name", "Title", "Date from", "Date until", "Russian state", "Austrian state"], ["Gustav Ernst Graf von Stackelberg", "Ambassador", "14 May 1810", "9 November 1818", "Russian Empire", "Austrian Empire"], ["Ernest Gustavovich Stackelberg", "Envoy", "3 August 1864", "25 April 1868", "Russian Empire", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 8 years | 128 | Answer: |
Table InputTable: [["Tournament", "2007", "2008", "2009", "2010", "2011", "2012", "2013", "2014", "W–L"], ["Australian Open", "1R", "1R", "A", "2R", "1R", "3R", "2R", "1R", "4–7"], ["French Open", "Q1", "Q1", "A", "2R", "Q1", "1R", "1R", "", "1–3"], ["Win–Loss", "0–1", "0–1", "0–1", "3–4", "0–3", "4–4", "1–4", "0–1", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2014 | 128 | Answer: |
Table InputTable: [["Year", "Organization", "Award", "Work", "Result"], ["2008", "Nickelodeon Kids' Choice Awards", "Best Actress", "Hana Yori Dango 2", "Won"], ["2007", "16th Hashida Awards", "Newcomer Award", "Hana Yori Dango 2", "Won"], ["2011", "TV Navi", "Best Actress", "Ohisama", "Won"], ["2010", "Nikkan Sports G... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Nikkan Sports Grand Prix (Fall) | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["4", "Kazakhstan", "2", "2", "0", "4"], ["3", "Uzbekistan", "1", "2", "3", "6"], ["5", "North Korea", "1", "0", "1", "2"], ["2", "Japan", "7", "10", "7", "24"], ["Total", "Total", "24", "23", "26", "73"], ["6", "South Korea", "0", "0", "2", "2... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4 | 128 | Answer: |
Table InputTable: [["Date", "Competition", "Location", "Country", "Event", "Placing", "Rider", "Nationality"], ["1 November 2009", "2009–10 World Cup", "Manchester", "United Kingdom", "Team sprint", "1", "Ross Edgar", "GBR"], ["30 October 2009", "2009–10 World Cup", "Manchester", "United Kingdom", "Sprint", "1", "Victo... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 9 | 128 | Answer: |
Table InputTable: [["Year", "Rider", "Victories", "Bike", "Manufacturer's Championship"], ["1995", "Carl Fogarty", "13", "Ducati 916", "Ducati"], ["1994", "Carl Fogarty", "11", "Ducati 916", "Ducati"], ["1998", "Carl Fogarty", "3", "Ducati 916", "Ducati"], ["1996", "Troy Corser", "7", "Ducati 916", "Ducati"], ["2001", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Colin Edwards | 128 | Answer: |
Table InputTable: [["Clerk", "Started", "Finished", "School (year)", "Previous clerkship"], ["Alan C. Kohn", "1957", "1958", "Wash U (1955)", "none"], ["Kenneth W. Dam", "1957", "1958", "Chicago (1957)", "none"], ["Jerome B. Libin", "1959", "1960", "Michigan (1959)", "none"], ["Heywood H. Davis", "1958", "1959", "Kansa... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1957 | 128 | Answer: |
Table InputTable: [["Year", "Matches", "Winner", "Results", "Pakistan\\nCaptain", "Pakistan\\nCoach", "India\\nCaptain", "India\\nCoach"], ["1988", "6", "Draw", "2 - 2", "Nasir Ali", "Manzoor-ul-Hasan", "M. M. Somaya", "M. P. Ganesh"], ["2004", "8", "Pakistan win", "4 - 2", "Waseem Ahmad", "Roelant Oltmans", "Dileep Ti... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1988 | 128 | Answer: |
Table InputTable: [["Conference", "# of Bids", "Record", "Win %", "Round\\nof 32", "Sweet\\nSixteen", "Elite\\nEight", "Final\\nFour", "Championship\\nGame"], ["Mid-Continent", "2", "0–2", "–", "–", "–", "–", "–", "–"], ["West Coast", "2", "0–2", "–", "–", "–", "–", "–", "–"], ["Big East", "2", "5–2", ".714", "2", "2",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Colonial, Western Athletic | 128 | Answer: |
Table InputTable: [["Place", "Player", "Country", "Score", "To par"], ["1", "Retief Goosen", "South Africa", "68-70-69=207", "–3"], ["T7", "Tiger Woods", "United States", "70-71-72=213", "+3"], ["T7", "Lee Westwood", "England", "68-72-73=213", "+3"], ["T7", "K. J. Choi", "South Korea", "69-70-74=213", "+3"], ["T7", "Pe... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Retief Goosen | 128 | Answer: |
Table InputTable: [["Team", "City", "Venue", "Capacity", "Head Coach", "Team Captain", "Past Season"], ["Moghavemat", "Shiraz", "Hafezieh", "20,000", "Gholam Hossein Peyrovani", "Mostafa Sabri", "14th"], ["Persepolis", "Tehran", "Azadi", "90,000", "Nelo Vingada", "Karim Bagheri", "Champion"], ["Foolad", "Ahvaz", "Takht... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Mashhad | 128 | Answer: |
Table InputTable: [["name", "glyph", "C string", "Unicode", "Unicode name"], ["A", "A", "A", "U+0041", "LATIN CAPITAL LETTER A"], ["U", "U", "U", "U+0055", "LATIN CAPITAL LETTER U"], ["L", "L", "L", "U+004C", "LATIN CAPITAL LETTER L"], ["C", "C", "C", "U+0043", "LATIN CAPITAL LETTER C"], ["P", "P", "P", "U+0050", "LATI... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | capital | 128 | Answer: |
Table InputTable: [["Match", "Date", "Venue", "Opponents", "Score"], ["Quarterfinals-1", "2006..", "[[]]", "[[]]", "-"], ["Quarterfinals-2", "2006..", "[[]]", "[[]]", "-"], ["Semifinals-1", "2006..", "[[]]", "[[]]", "-"], ["Semifinals-2", "2006..", "[[]]", "[[]]", "-"], ["GL-A-1", "2006..", "[[]]", "[[]]", "-"], ["GL-A... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2006 | 128 | Answer: |
Table InputTable: [["Name", "Location", "Date established", "Area", "Description"], ["Hot Springs", "Arkansas\\n34°31′N 93°03′W / 34.51°N 93.05°W", "March 4, 1921", "5,549.75 acres (22.5 km2)", "The only National Park in an urban area, this smallest National Park is based around the natural hot springs that have been... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Acadia | 128 | Answer: |
Table InputTable: [["Series", "Name", "Age", "Hometown", "Occupation", "Status"], ["BB1", "Craig Phillips", "28", "Liverpool", "Builder", "1st - Winner"], ["BB8", "Shanessa Reilly", "26", "Cardiff", "Care Assistant/Stripper", "12th - Evicted"], ["BB2", "Josh Rafter", "32", "London", "Property manager", "6th - Evicted"]... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Anna Nolan | 128 | Answer: |
Table InputTable: [["Year", "Division", "League", "Reg. Season", "Playoffs"], ["2007", "1", "USL W-League", "5th, Western", ""], ["2009", "1", "USL W-League", "7th, Western", "Did not qualify"], ["2006", "1", "USL W-League", "5th, Western", ""], ["2011", "1", "USL W-League", "7th, Western", "Did not qualify"], ["2005",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 5th | 128 | Answer: |
Table InputTable: [["Title", "Year", "Authors", "Publisher", "Pages"], ["The Route to Advanced Communications", "1991", "David Cleevely, Stefan Stanislawski, Ade Ajibulu", "Analysys Publications", "178"], ["Rural Telecoms Handbook: Equipment and Manufacturers", "1992", "Tim Hills, David Cleevely", "Analysys Publication... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | The Far Reaching Effects of Broadband | 128 | Answer: |
Table InputTable: [["Representative", "Party", "Home Town/City", "District"], ["Jose Menendez", "D", "San Antonio", "124"], ["Philip Cortez", "D", "San Antonio", "117"], ["Lyle Larson", "R", "San Antonio", "122"], ["Ruth McClendon", "D", "San Antonio", "120"], ["Joe Straus", "R", "San Antonio", "121"], ["Joe Farias", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 8 | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["3.", "China", "1", "9", "8", "18"], ["1.", "Brazil", "21", "9", "12", "42"], ["7.", "Germany", "0", "5", "1", "6"], ["9.", "Argentina", "0", "2", "0", "2"], ["8.", "Russia", "0", "2", "3", "5"], ["4.", "Netherlands", "1", "1", "1", "3"], ["12... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Brazil | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event"], ["2000", "Grand Prix Final", "Doha, Qatar", "4th", "100 m hurdles"], ["2002", "Grand Prix Final", "Paris, France", "7th", "100 m hurdles"], ["1998", "Grand Prix Final", "Moscow, Russia", "2nd", "100 m hurdles"], ["2003", "World Athletics Final", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | 128 | Answer: |
Table InputTable: [["Episode no.", "Airdate", "Viewers", "BBC Three weekly ranking", "Multichannels rank"], ["4", "16 May 2013", "880,000", "1", "13"], ["3", "9 May 2013", "885,000", "1", "11"], ["6", "30 May 2013", "1,094,000", "1", "3"], ["8", "13 June 2013", "840,000", "5", "19"], ["1", "25 April 2013", "979,000", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | 128 | Answer: |
Table InputTable: [["Game", "Date", "Opponent", "Location", "Score", "OT", "Attendance", "Record"], ["13", "March 31, 2007", "Chicago Shamrox", "HSBC Arena", "W 15–10", "", "16,228", "9–4"], ["2", "January 12, 2007", "New York Titans", "HSBC Arena", "W 16–14", "", "18,690", "1–1"], ["9", "February 24, 2007", "Philadelp... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 8 | 128 | Answer: |
Table InputTable: [["Rank", "Pair", "Name", "Country", "Time", "Time behind"], ["", "20", "Joey Cheek", "United States", "1:09.16", "+0.27"], ["", "19", "Shani Davis", "United States", "1:08.89", ""], ["6", "4", "Chad Hedrick", "United States", "1:09.45", "+0.56"], ["9", "18", "Casey FitzRandolph", "United States", "1:... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4 | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["3", "South Korea (KOR)", "32", "48", "65", "145"], ["8", "Mongolia (MGL)", "1", "1", "6", "8"], ["6", "North Korea (PRK)", "6", "10", "20", "36"], ["2", "Japan (JPN)", "46", "56", "77", "179"], ["1", "China (CHN)", "127", "63", "33", "223"], ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Guam (GUM) | 128 | Answer: |
Table InputTable: [["Model", "1991", "1995", "1996", "1997", "1998", "1999", "2000", "2001", "2002", "2003", "2004", "2005", "2006", "2007", "2008", "2009", "2010", "2011", "2012", "2013"], ["Škoda Superb", "−", "−", "−", "−", "−", "−", "−", "177", "16,867", "23,135", "22,392", "22,091", "20,989", "20,530", "25,645", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Škoda Octavia | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["Total", "Total", "43", "41", "42", "126"], ["9", "Egypt", "0", "1", "2", "3"], ["7", "Algeria", "2", "0", "2", "4"], ["8", "Croatia", "0", "3", "3", "6"], ["2", "Italy", "12", "8", "10", "30"], ["6", "Tunisia", "3", "0", "0", "3"], ["3", "Slo... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 126 | 128 | Answer: |
Table InputTable: [["Iteration", "Dates", "Location", "Attendance", "Notes"], ["GameStorm 15", "March 21–24, 2013", "Hilton - Vancouver, WA", "1188", ""], ["GameStorm 10", "March 2008", "Red Lion - Vancouver, WA", "750", "-"], ["GameStorm 12", "March 25–28, 2010", "Hilton - Vancouver, WA", "802", "Board games Guest of ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1188 | 128 | Answer: |
Table InputTable: [["Season", "Footballer", "Club", "Position", "Nationality"], ["2002-03", "Moeneeb Josephs", "Ajax Cape Town", "GK", "South Africa"], ["1999-00", "Siyabonga Nomvethe", "Kaizer Chiefs", "FW", "South Africa"], ["2003-04", "Tinashe Nengomasha", "Kaizer Chiefs", "MF", "Zimbabwe"], ["2001-02", "Jabu Pule",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Cameroon, Nigeria | 128 | Answer: |
Table InputTable: [["Game", "Date", "Team", "Score", "High points", "High rebounds", "High assists", "Location\\nAttendance", "Record"], ["40", "January 14", "@ Golden State", "W 135–133 (3OT)", "Brad Miller (30)", "Brad Miller (22)", "John Salmons, Beno Udrih (7)", "Oracle Arena\\n19,122", "10–30"], ["44", "January 24... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 22 | 128 | Answer: |
Table InputTable: [["Ship", "Type of Vessel", "Lake", "Location", "Lives lost"], ["Charles S. Price", "Steamer", "Lake Huron", "near Port Huron, Michigan", "28 lost"], ["Leafield", "Steamer", "Lake Superior", "", "all hands"], ["Argus", "Steamer", "Lake Huron", "25 miles off Kincardine, Ontario", "25 lost"], ["Henry B.... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 10 | 128 | Answer: |
Table InputTable: [["Name", "Date time (UT)", "Local time zone", "Location", "Elevation + height", "Delivery", "Purpose", "Yield", "Venting", "Notes"], ["Atarque", "25 July 1972 13:00:30.06", "PST (-8 hrs)", "NTS Area U3ht 37°00′45″N 116°00′57″W / 37.01247°N 116.01577°W", "1,182 m (3,878 ft) - 294.2 m (965 ft)", "und... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Diamond Sculls | 128 | Answer: |
Table InputTable: [["Publication", "Country", "Accolade", "Year", "Rank"], ["NME", "United Kingdom", "All Times Top 100 Albums", "1985", "46"], ["NME", "United Kingdom", "All Times Top 100 Albums + Top 50 by Decade", "1993", "145"], ["The New Nation", "United Kingdom", "Top 100 Albums by Black Artists", "2005", "27"], ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | 128 | Answer: |
Table InputTable: [["Contestant", "Age", "Height", "Home City", "Rank"], ["Christine Riener", "20", "181 cm (5 ft 11.25 in)", "Bludenz", "Eliminated in Episode 4"], ["Gina Zeneb Adamu", "17", "175 cm (5 ft 9 in)", "Bad Vöslau", "Runner-Up"], ["Nadine Trinker", "21", "183 cm (6 ft 0 in)", "Bodensdorf", "Eliminated in Ep... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Antonia Maria Hausmair, Gina Zeneb Adamu | 128 | Answer: |
Table InputTable: [["Week", "Date", "Opponent", "Result", "Attendance"], ["7", "October 18, 1981", "at New England Patriots", "L 38–10", "60,474"], ["8", "October 26, 1981", "at Pittsburgh Steelers", "L 26–13", "52,732"], ["16", "December 20, 1981", "Pittsburgh Steelers", "W 21–20", "41,056"], ["12", "November 22, 1981... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | at Pittsburgh Steelers | 128 | Answer: |
Table InputTable: [["Chord", "Root", "Minor Third", "Perfect Fifth", "Major Seventh"], ["BmM7", "B", "D", "F♯", "A♯"], ["G♯mM7", "G♯", "B", "D♯", "F (G)"], ["AmM7", "A", "C", "E", "G♯"], ["C♯mM7", "C♯", "E", "G♯", "B♯ (C)"], ["B♭mM7", "B♭", "D♭", "F", "A"], ["A♯mM7", "A♯", "C♯", "E♯ (F)", "G (A)"], ["D♯mM7", "D♯", "F♯"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | C♯mM7 | 128 | Answer: |
Table InputTable: [["Polling Firm", "Source", "Date Published", "N.Anastasiades", "G.Lillikas", "S.Malas", "Others"], ["Prime Consulting Ltd", "[20]", "9 February 2013", "40.6%", "19.6%", "20.4%", "2.9%"], ["Prime Consulting Ltd", "[19]", "4 February 2013", "39.8%", "19.3%", "20%", "3%"], ["RAI Consultants Ltd", "[21]"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Evresis | 128 | Answer: |
Table InputTable: [["Rank", "Name", "Club", "Nationality", "Points"], ["8", "Georgi Asparuhov", "Levski Sofia", "Bulgaria", "9"], ["11", "Denis Law", "Manchester United", "Scotland", "8"], ["8", "Alessandro Mazzola", "Internazionale", "Italy", "9"], ["8", "Valery Voronin", "Torpedo Moskva", "Soviet Union", "9"], ["17",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 17 | 128 | Answer: |
Table InputTable: [["Year", "Name", "Year", "Name", "Year", "Name"], ["1925-26", "Mr S.Steenberg", "1957- 58", "", "1990-91", "Mr Gerrie Wolmarans"], ["1903-04", "Mr B. Owen- Jones", "1935-36", "Mr W.Pearce", "1967-68", "Mr J.F.Serfontein"], ["1934-34", "", "1966-67", "Mr H.McLennan", "", ""], ["1908-09", "Mr T.R.Zierv... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Mr B. Owen- Jones | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["7", "Bahrain (BRN)", "2", "1", "1", "4"], ["9", "Qatar (QAT)", "1", "4", "3", "8"], ["12", "Kuwait (KUW)", "1", "0", "0", "1"], ["3", "Saudi Arabia (KSA)", "7", "1", "0", "8"], ["8", "Sri Lanka (SRI)", "2", "0", "2", "4"], ["10", "Thailand (T... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 10 | 128 | Answer: |
Table InputTable: [["Week", "Date", "Opponent", "Score", "Result", "Record"], ["4", "Sept 18", "vs. Toronto Argonauts", "34–6", "Loss", "1–4"], ["3", "Sept 11", "at Toronto Argonauts", "12–5", "Win", "1–3"], ["5", "Sept 25", "vs. Hamilton Tiger-Cats", "38–12", "Loss", "1–5"], ["9", "Oct 23", "at Hamilton Tiger-Cats", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 5 | 128 | Answer: |
Table InputTable: [["Name", "Nationality", "From", "To", "Honours", "Comments"], ["René Heitmann", "Denmark", "17 July 2010", "27 July 2010", "", "Never coached the team in a match"], ["John 'Tune' Kristiansen", "Denmark", "18 June 2012", "23 June 2012", "", "Caretaker for one league match"], ["Christian Andersen", "De... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | John 'Tune' Kristiansen | 128 | Answer: |
Table InputTable: [["Specifications", "Foundation", "Essentials", "Standard", "Datacenter"], ["Memory limit", "32 GB", "64 GB", "4 TB", "4 TB"], ["File Services limits", "1 standalone DFS root", "1 standalone DFS root", "Unlimited", "Unlimited"], ["Windows Server Update Services", "No", "Yes", "Yes", "Yes"], ["Licensin... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | 128 | Answer: |
Table InputTable: [["#", "Title", "Performer(s)", "Film", "Length"], ["13", "\"Part of Your World\"", "Original Broadway Cast", "The Little Mermaid", "3:23"], ["11", "\"True to Your Heart\"", "Keke Palmer", "Mulan", "3:22"], ["4", "\"Colors of the Wind\"", "Vanessa Hudgens", "Pocahontas", "3:58"], ["2", "\"That's How Y... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | "Happy Working Song" | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2007", "World Championships", "Osaka, Japan", "3rd", "400 m hurdles", "48.12 (NR)"], ["2003", "European U23 Championships", "Bydgoszcz, Poland", "1st", "400 m hurdles", "48.45"], ["2001", "World Championships", "Edmonton, Canada", "18t... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1999 | 128 | Answer: |
Table InputTable: [["Name", "Location", "Date established", "Area", "Description"], ["Yellowstone", "Wyoming, Montana, Idaho\\n44°36′N 110°30′W / 44.60°N 110.50°W", "March 1, 1872", "2,219,790.71 acres (8,983.2 km2)", "Situated on the Yellowstone Caldera, the first national park in the world has vast geothermal areas... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Yellowstone | 128 | Answer: |
Table InputTable: [["Round", "Pick", "Player", "Position", "Nationality", "School/Club Team"], ["2", "39", "Michael Miley", "", "United States", "California State-Long Beach"], ["4", "83", "Calvin Roberts", "", "United States", "California State-Fullerton"], ["10", "209", "Steve Schall", "", "United States", "Arkansas"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Calvin Roberts | 128 | Answer: |
Table InputTable: [["Year", "Date", "Winner", "Result", "Loser", "Location"], ["2001", "January 7", "New York Giants", "20-10", "Philadelphia Eagles", "Giants Stadium"], ["2001", "December 30", "Philadelphia Eagles", "24-21", "New York Giants", "Veterans Stadium"], ["2000", "September 10", "New York Giants", "33-18", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2001 | 128 | Answer: |
Table InputTable: [["Place", "Player", "Country", "Score", "To par", "Money ($)"], ["5", "Gene Sarazen", "United States", "73-66-72-72=283", "–5", "400"], ["1", "Ralph Guldahl", "United States", "72-68-70-69=279", "–9", "1,500"], ["6", "Craig Wood", "United States", "72-73-71-68=284", "–4", "300"], ["9", "Ben Hogan", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Ralph Guldahl | 128 | Answer: |
Table InputTable: [["ZOOM", "Cast Member 1", "Cast Member 2", "Cast Member 3", "Cast Member 4", "Cast Member 5", "Cast Member 6", "Cast Member 7"], ["Season 3 (2001)", "Frances Domond", "Kenneth \"Kenny\" Yates", "Rachel Redd", "Eric Rollins", "Kaleigh Cronin", "Kevin \"Buzz\" Barrette", "Caroline Botelho"], ["Season 2... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 49 | 128 | Answer: |
Table InputTable: [["#", "Title", "Performer(s)", "Film", "Length"], ["12", "\"Happy Working Song\"", "Amy Adams", "Enchanted", "2:09"], ["5", "\"Reflection\"", "Christina Aguilera", "Mulan", "3:33"], ["2", "\"That's How You Know\"", "Demi Lovato", "Enchanted", "3:12"], ["11", "\"True to Your Heart\"", "Keke Palmer", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | "Happy Working Song" | 128 | Answer: |
Table InputTable: [["Pos", "No.", "Driver", "Team", "Laps", "Time/Retired", "Grid", "Laps Led", "Points"], ["15", "13", "E. J. Viso", "HVM Racing", "84", "+ 1 Lap", "9", "0", "15"], ["17", "20", "Ed Carpenter", "Vision Racing", "84", "+ 1 Lap", "21", "0", "13"], ["18", "98", "Richard Antinucci", "Team 3G", "83", "+ 2 L... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 84 | 128 | Answer: |
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